Learning color constancy

Brian Funt, Vlad Cardei, Kobus Barnard

Research output: Contribution to conferencePaper

101 Scopus citations

Abstract

We decided to test a surprisingly simple hypothesis; namely, that the relationship between an image of a scene and the chromaticity of scene illumination could be learned by a neural network. The thought was that if this relationship could be extracted by a neural network, then the trained network would be able to determine a scene's Illuminant from its image, which would then allow correction of the image colors to those relative to a standard illuminance, thereby providing color constancy. Using a database of surface reflectances and illuminants, along with the spectral sensitivity functions of our camera, we generated thousands of images of randomly selected illuminants lighting 'scenes' of 1 to 60 randomly selected reflectances. During the learning phase the network is provided the image data along with the chromaticity of its illuminant. After training, the network outputs (very quickly) the chro-maticity of the illumination given only the image data. We obtained surprisingly good estimates of the ambient illumination lighting from the network even when applied to scenes in our lab that were completely unrelated to the training data.

Original languageEnglish (US)
Pages58-60
Number of pages3
StatePublished - Dec 1 1996
Externally publishedYes
EventFinal Program and Proceedings of the 4th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications - Scottsdale, AZ, United States
Duration: Nov 19 1996Nov 22 1996

Other

OtherFinal Program and Proceedings of the 4th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications
CountryUnited States
CityScottsdale, AZ
Period11/19/9611/22/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • Cite this

    Funt, B., Cardei, V., & Barnard, K. (1996). Learning color constancy. 58-60. Paper presented at Final Program and Proceedings of the 4th IS and T/SID Color Imaging Conference: Color Science, Systems and Applications, Scottsdale, AZ, United States.